Items where Subject is "Computer Vision and Pattern Recognition"

  • ASJC Scopus Subject Areas (4053)
  • Computer Science(all) (481)
  • Computer Vision and Pattern Recognition (16)
    Number of items at this level: 16.
    A
  • Investigation of eGovernment Services and Alignment between Business and Information Systems. (2019) Sulaiman Alfadhel, Shaofeng Liu and Festus Oderanti
  • User Comfort-Oriented Home Energy Management System Under Demand Response. (2023) Fayiz Alfaverh, Mouloud Denai and Yichuang Sun
  • An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training. (2024) Alzheimer’s Disease Neuroimaging Initiative, Daniele Ravi, Frederik Barkhof, Daniel C. Alexander, Lemuel Puglisi, Geoffrey J.M. Parker and Arman Eshaghi
  • Automatic generation of level maps with the do what's possible representation. (2019) Daniel Ashlock and Christoph Salge
  • The riddle of togelby. (2019) Daniel Ashlock and Christoph Salge
    • B
  • Different classifiers find different defects although with different level of consistency. (2015) David Bowes, Tracy Hall and Jean Petrić
  • How to Solve AI Bias. (2020) Robin Bradley
  • Bioinformatics and Regression Analyses Manifest Tumor-Specific miRNA Expression Dynamics in Pediatric Embryonal Malignancies. (2018) Maria Braoudaki, Dimitrios-Dionysios Koutsouris, Ioannis Kouris, Anna Paidi, Georgia Koutsouri and I George Lambrou
    • C
  • Feature weighting in DBSCAN using reverse nearest neighbours. (2023) Stiphen Chowdhury, Na Helian and Renato Cordeiro de Amorim
    • F
  • Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia. (2022) for the Alzheimer's Disease Neuroimaging Initiative, Daniele Ravi, Stefano B. Blumberg, Silvia Ingala, Frederik Barkhof, Daniel C. Alexander and Neil P. Oxtoby
    • G
  • A Robust Document Identification Framework through f-BP Fingerprint. (2021) Francesco Guarnera, Oliver Giudice, Dario Allegra, Filippo Stanco, Sebastiano Battiato, Salvatore Livatino, Vito Matranga and Angelo Salici
    • H
  • A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities. (2024) Shoaib Hassan, Qianmu Li, Khursheed Aurangzeb, Affan Yasin, Javed Ali Khan and Muhammad Shahid Anwar
    • N
  • Source Camera Identification Techniques: A Survey. (2024) Chijioke Emeka Nwokeji, Akbar Sheikh-Akbari, Anatoliy Gorbenko and Iosif Mporas
    • O
  • Burnt-in Text Recognition from Medical Imaging Modalities: Existing Machine Learning Practices. (2024) Efosa Osagie, Wei Ji and Na Helian
    • R
  • De-identification for privacy protection in multimedia content : A survey. (2016) Slobodan Ribaric, Aladdin Ariyaeeinia and Nikola Pavesic
    • S
  • Generating photo-realistic training data to improve face recognition accuracy. (2021) Daniel Sáez-Trigueros, Li Meng and Margaret Hartnett